Read the baseline
This modeled example uses recent average sales: 180 sellable units ÷ 10 units/day = 18 days of cover. The solid line shows stock if nothing changes; missing sales are not treated as zero.
← How Rivet Rocket helpsSee the stock risk.
For US Seller Central brands with FBA inventory
See the stock risk.
Plan the next shipment.
Get a weekly order queue with projected stockout dates, order-by dates and suggested quantities. Set your real lead times and inbound arrival dates before making a replenishment decision.
NevahOOS · Rivet Rocket
RrivetrocketIllustrative data
A conversation with context
Example exchangeYour AI brand manager
What needs my attention this week?
R
Restock your top seller first.
Your top seller has 18 days of stock against a 30-day lead time. Without inbound stock, that leaves a 12-day gap. Confirm whether incoming stock can arrive in time. Make that check before running a price test.
Stock: example snapshotLead time: brand assumption
↗
Ask the follow up question
“How many units should I send in?”
Reimbursement-report cases
Illustrative statesTrack the next case step
| Case | State | Next step |
|---|---|---|
| RR-1042 | Ready to file | File in Seller Central |
| RR-2086 | Follow-up due | Check the response |
| RR-3191 | Payment matched | Review the match |
↗
The report and case history together
Your team files in Seller Central and records the case ID and responses. Refund Logic flags a 14-day follow-up and matches payment records. It does not audit shipments or file cases automatically.
A decision you can explain
Example productReview the price test
Current price$24.80
→Suggested test$25.10
Sales trendReview recent demand
Stock contextCheck available cover
ExecutionYou choose the change
↗
Small change. Clear reasoning.
Review the recommendation and supporting data before choosing your next test.
Plan your next shipment
Example forecastInventory cover
TodayLead timeTarget cover
Stock on handCompare with inbound units
ReplenishmentReview timing and quantity
↗
Check the lead time assumption
Your shipment plan depends on when the next units can reach Amazon.
Where shoppers leave
Example findingSearch performance
People see us. Why aren’t they buying?
R
Start with the step where share drops.
Compare your share of clicks, cart adds and purchases with the market. Review the listing and price before deciding where to spend.
↗
A weekly list of searches to investigate
Ask AI about the finding and choose your next check.
Inside NevahOOS
See the gap before placing the order.
Follow a SKU’s stock outlook, check your lead time and inbound dates, then review the send-in quantity.
US Seller Central · FBAFollow the four steps or replay the animation. The interface is simplified and all figures are illustrative; no live account is connected.
Coverage and boundaries
This example uses recent average sales with no seasonality. Seasonal forecasts are used only after validation. Context notes do not change the math. NevahOOS never places orders or creates shipments.
RNevahOOSIllustrative workflow
01Sales + FBA stock + dated inbound
02Forecast + your SKU assumptions
03You place orders and shipments
Cover18 days
Custom lead time30 days
Potential gap12 days
━ No change┄ Recommended order▧ Out of stock
Suggested send-in · modeled720 units
30-day lead time + 60-day target cover · No earlier inbound
01 / Read stock cover
180 sellable units at a modeled 10 units/day gives 18 days of cover.
02 / Check lead time
A custom 30-day lead time leaves a potential 12-day stock gap if there is no earlier inbound arrival.
03 / Review the forecast
Check the solid baseline, dashed recommended-order projection and red stockout band. Review lead time, target cover and dated inbound in the SKU panel.
04 / Plan the send-in
With 30 days lead time, 60 target days of cover and no inbound, the modeled quantity is (30 + 60) × 10 − 180 = 720 units. Your team makes the order decision.
Time compressed · Sample data
180 sellable units at a modeled 10 units/day gives 18 days of cover.
A custom 30-day lead time leaves a potential 12-day stock gap if there is no earlier inbound arrival.
Check the solid baseline, dashed recommended-order projection and red stockout band. Review lead time, target cover and dated inbound in the SKU panel.
With 30 days lead time, 60 target days of cover and no inbound, the modeled quantity is (30 + 60) × 10 − 180 = 720 units. Your team makes the order decision.
Illustrative interface and prewritten example. No live connection or account action.
Read the example in detail
Review the SKU assumptions
The example sets a custom 30-day lead time and 60 target days of cover. Product defaults are 45 and 60 days. Set your actual values in the SKU panel; brand-wide editable defaults are not available yet.
Check dated inbound
No earlier inbound is assumed here, so stock is out for a potential 12 days before a new order could arrive. Inbound counts only if its arrival is dated before the stockout. Check when it becomes sellable.
Review the quantity
Modeled send-in: (30 + 60) × 10 − 180 = 720 units. The dashed line illustrates the recommended order. Context notes are reference material and do not change the math. You place orders and create shipments yourself.
A more useful view
See what needs action
Start with the products at risk of running out before new stock can arrive.
Know when and how much
Review an order-by date and suggested send-in quantity for each product.
Plan with your real timing
Set lead time, target stock cover and dated inbound shipments per product. Context notes are kept for reference; they do not change the forecast math.
From the finding to a decision
Turn stock cover into a shipment decision.
The demo brought sales history, stock, inbound inventory, lead times and planning notes together. Check the timing of each input before relying on a replenishment suggestion.
Set a usable baseline
Review the sales-history range, sellable units and any days when stock was unavailable. Forecasts use seasonality when it passes recent validation, otherwise recent average sales. Notes about promotions or unusual events remain reference material; they do not alter the math.
Place inbound stock on the timeline
Record quantities, expected arrival dates and the time needed for stock to become sellable. Keep uncertain shipments visible rather than counting them as available today.
Assign the next action
Ask operations to confirm lead time, the brand owner to approve replenishment and the advertising owner to review demand plans. Agree a manual review schedule until automated alerts and refresh timing are confirmed.
Illustrative stock-cover check
With 300 sellable units and steady demand of 10 units a day, simple cover is 30 days. If replenishment takes 45 days and no inbound units arrive, the plan has a 15-day gap. This arithmetic assumes constant demand and is not the product’s forecast model or an accuracy claim.
Record supplier timing and arrival uncertainty with the recommendation. Read the reporting guide to bring stock context into agency reviews.
How it works
A question.
A useful next step.
- 01
Set the assumptions
Define lead times, target stock cover and the context behind your plan.
- 02
Review available stock
Look at stock on hand, inbound units and the sales forecast.
- 03
Plan replenishment
Decide what to order or send to Amazon, then update the plan as circumstances change.
Questions, answered
The details matter.
A few things worth knowing about the tools and the next step.
Can a forecast prevent every stockout?
No. Forecasts depend on the available data and your assumptions. Review supplier timing, unusual demand and inbound delays before acting.
Which accounts does this support?
NevahOOS forecasts FBA inventory in the US marketplace. Vendor Central accounts are not supported.
How much does it cost?
Brands: $297/month. FBA Builders: $97/month + usage. Agencies: $497/month + usage. Confirm account scope, usage rates where applicable and any separate services on your demo.
Are the examples real customer results?
The website uses illustrative examples. On the demo, we show how the workflow applies to your business and confirm the data and features your account can use.
Keep exploring
The thinking behind the tool
Put the finding in context.
How to test Amazon price increases without guessing
Choose one product, define the margin goal, and measure whether a price change earns its place.
Read the guideAmazon catalog concentration: how much depends on a few products?
Find out whether concentration is rising because your best products grew or the rest of the catalog weakened.
Read the guideHow to read an Amazon advertising performance report
Connect advertising, sales and stock evidence. Investigate the finding, record a decision and check what happened next.
Read the guideStart with your work
Find your next
useful move.
Show us what you manage or want to build. We’ll walk through the features, confirm your setup and give you clear next steps.
Book a demo No account connection needed for the call.